Latest AI and machine learning research in oncology/hematology for healthcare professionals.
This study examined the optimization of the Levenberg-Marquardt backpropagation approach, which uses...
Benzo[a]pyrene (BaP) is a polycyclic fragrant hydrocarbon contaminant commonly establish throughout ...
BackgroundAs the patterns of chronic complex disease and death continue to evolve, the demand for pa...
Artificial intelligence (AI) has emerged as a major area of interest in pathology, driven by improve...
The main purpose of this study was to investigate the molecular mechanisms underlying radiotherapy r...
BACKGROUND: Selective Internal Radiation Therapy (SIRT) delivers 90 Y microspheres through the hepat...
Antibody-drug conjugates (ADCs) represent a rapidly expanding class of targeted cancer therapeutics ...
Accurately modeling cellular states is crucial for pharmacogenomics, yet existing deep learning meth...
To further standardize the prevention and management of lung cancer in China, improve the level of d...
As a core functional component of the tumor microenvironment, the regulatory role of intratumoral mi...
Rapid, low-cost tools for ovarian tumor discrimination and post-treatment assessment remain limited ...
BACKGROUND: Young adult cancer survivors (ages 18-39) often experience persistent treatment-related ...
Retinopathy of Prematurity (ROP) is among the major causes of preventable childhood blindness. Autom...
BACKGROUND AND PURPOSE: In MR-guided brachytherapy, organs at risk (OAR) are manually delineated dur...
ObjectiveTo critically review the current pharmacologic treatment landscape for epidermal growth fac...
Motion artifacts substantially degrade magnetic resonance imaging (MRI) quality and can reduce diagn...
Prognosis prediction is important for precision treatment in lung cancer. Chest computed tomography ...
Cancer immunotherapy marks a major advance in oncology, yet its effectiveness is constrained by chal...
Missed medical appointments, including cancellations and no-shows, disrupt clinical workflows, reduc...
ObjectiveFederated learning enables collaborative medical model development without centralizing pat...
BACKGROUND: Xeroderma pigmentosum group D (XPD), caused by ERCC2 gene dysfunction, leads to defectiv...